OVI is an AI-native applicant tracking system (ATS) at ovi-me.com. You chat with AI agents Sora and Milo to source candidates, screen CVs, and run AI voice interviews in one workflow.

How do I sign in to OVI?

Sign in to OVI at https://ovi-me.com/auth with your work email or Google account. New teams can start a free trial from the homepage.

OVI AI refers to OVI's hiring agents — Milo for CV screening and Sora for sourcing — built into the AI-native ATS so recruiting teams chat to hire instead of clicking through traditional ATS screens.

OVI is the AI-native ATS where you chat to hire. Two AI agents — Sora for sourcing and Milo for screening — find candidates, score every CV, and run AI interviews, all controlled from a single chat.

What does "chat to hire" mean?

Chat to hire is OVI's AI-native hiring workflow: instead of clicking through a traditional ATS, you describe what you need in chat and OVI's AI agents source candidates, screen applicants, run AI interviews, and send outreach for you.

What is an AI-native ATS?

An AI-native ATS is an applicant tracking system built around AI agents rather than forms and pipelines. OVI's AI chat ATS lets recruiters source, screen, interview, and follow up through conversation — the agents do the work and surface only the candidates worth meeting.

Who are Sora and Milo?

Sora is OVI's AI sourcing agent — she scans LinkedIn, the open web, and your ATS history to find best-fit candidates and reach out in your name. Milo is OVI's AI screening agent — he scores every applicant against your rubric and surfaces a ranked shortlist.

How do OVI's AI interviews work?

OVI runs async AI interviews for every shortlisted candidate and returns scores, transcripts, and recordings — so your team only meets the people worth meeting.

Open Enrollment Is Still Broken for 87% of Companies. These 5 AI Benefits Tools Fix It in 2026.

By Tim Kreling, Co-Founder, OVI

Published 2026-09-28

Every year, millions of employees get the same thing: a PDF, a portal link, and a deadline. They spend an average of 18 minutes choosing a health plan that will govern thousands of dollars in out-of-pocket costs for the next 12 months (Employee Benefit News, 2026). The result is predictable — wrong plans, wasted premiums, and a 48% share of workers who say they would panic if hit with an unexpected medical bill (Businessolver, January 2026).

AI benefits decision support tools fix this by replacing static documents with data-driven, conversational guidance that matches each employee to their optimal plan. Yet only 13% of companies have adopted them (Clarity Benefit Solutions, 2026). That means 87% are still running open enrollment the same way they did a decade ago — despite documented evidence that AI-driven benefits communication boosts on-time enrollments by 40% (Clarity Benefit Solutions, 2026).

The business case compounds fast. HRTechSaaS modeling shows that a single percentage-point shift in HDHP adoption across a 500-employee workforce recovers the annual cost of the tool many times over, while individual employees can save an average of $1,400 per year through optimized plan selection (HRTechSaaS, 2026). SurveyMonkey saved 369 hours in a two-week open enrollment window using an AI benefits platform (Revo.ai, 2026). Meanwhile, demand for custom benefits communications has surged 43% year-over-year (Businessolver, January 2026).

Here are the five platforms leading this category in 2026.

Platform Comparison

Platform	Best For	Key Differentiator	Deployment Speed	Pricing Model
Jellyvision ALEX	Broad employee bases, brand-name trust	Conversational Q&A with humor; new ALEX Home for individual consumers	Moderate (vendor-managed)	Per-employee, tiered
Nayya	Mid-market to enterprise with claims data access	Claims data integration + total cost modeling for accuracy-first recommendations	Moderate	Per-employee, usage-based
Businessolver Sofia	Large enterprises on Businessolver platform	Agentic AI framework; 88% chat resolution rate; 2.1M unique chats/year	Integrated (existing clients)	Bundled with Businessolver suite
Picwell	Fast-deploying teams without claims data	Actuarial side-by-side modeling; no claims data required	4–8 weeks	Per-employee
Pasito	Benefits-heavy workforces needing HSA/FSA optimization	Extends beyond plan selection into FSA/HSA investment and supplemental benefits guidance	Moderate	Per-employee

Jellyvision ALEX

ALEX is the most widely deployed benefits decision support tool on the market. Its conversational Q&A format walks employees through plan choices in plain language, using a tone that has earned it a loyal employer following. In 2026, Jellyvision launched ALEX Home, a version designed for individual consumers navigating benefits decisions outside employer-sponsored enrollment (PR Newswire, 2026). For HR teams, ALEX remains a reliable default — particularly in organizations where ease of adoption matters more than deep analytics.

Nayya

Nayya differentiates on accuracy. By integrating directly with claims data and building total-cost-of-care models, Nayya generates recommendations that reflect how employees actually use their benefits — not just plan sticker prices. This makes it a strong fit for mid-market to enterprise employers that have the claims data infrastructure to feed it. The tradeoff: deployment takes longer and requires tighter data partnerships than lighter-touch alternatives (HRTechSaaS, 2026).

Businessolver Sofia

Businessolver's Sofia represents the agentic AI approach to benefits support. Built into the Businessolver platform, Sofia handles benefits questions autonomously with an 88% chat resolution rate — an 11% improvement year-over-year — and has processed 2.1 million unique chats per year. Businessolver reports 97% client retention and over 80% employee enrollment confidence among Sofia users (Businessolver/GlobeNewswire, January 2026). The limitation: Sofia is exclusive to the Businessolver ecosystem, so it suits enterprises already on or migrating to that platform.

Picwell

Picwell is built for speed. It deploys in 4–8 weeks without requiring access to claims data — a significant advantage for organizations that lack the data infrastructure or cannot share sensitive health information with vendors (HRTechSaaS, 2026). Its actuarial side-by-side modeling lets employees compare plans on projected out-of-pocket costs using demographic and utilization estimates rather than historical claims. For HR teams under tight enrollment timelines, Picwell removes the biggest deployment barrier.

Pasito

Pasito extends the scope of benefits decision support beyond plan selection. Where most tools stop at choosing between an HMO and a PPO, Pasito guides employees through FSA and HSA contribution optimization, supplemental benefits enrollment, and investment allocation within tax-advantaged accounts (HRTechSaaS, 2026). It is the right fit for organizations with complex, benefits-heavy workforces — think employers offering 5+ plan options with HSA, FSA, and voluntary benefits stacked on top.

Which Tool Is Right for You?

Buyer Profile	Recommended Tool	Why
SMB (under 500 employees), first-time buyer	Picwell	Fast 4–8 week deployment, no claims data required, low integration burden
Mid-market (500–5,000 employees) with claims data	Nayya	Claims-integrated total cost modeling delivers the highest recommendation accuracy
Enterprise already on Businessolver	Businessolver Sofia	Native integration, proven at scale (2.1M chats/year), no separate procurement
Benefits-heavy workforce (5+ plans, HSA/FSA/voluntary)	Pasito	Uniquely covers FSA/HSA optimization and supplemental benefits beyond plan selection
Large, diverse workforce prioritizing adoption	Jellyvision ALEX	Most recognized brand, conversational format drives high employee engagement

A Note on Data Privacy

Benefits decision support tools process sensitive health and financial data. Leading platforms mitigate risk through SSO-based authentication, de-identification of individual-level data in analytics, and explicit consent frameworks before ingesting claims or utilization records. HR teams evaluating these tools should confirm that vendor data handling meets their organization's privacy and compliance requirements — particularly when claims data integration is involved.

How much do AI benefits decision support tools cost?

Pricing varies by platform and is typically per-employee. Entry-level tools like Picwell and ALEX are accessible to mid-market budgets, while integrated solutions like Businessolver Sofia are bundled with broader benefits administration suites. A single percentage-point shift in HDHP adoption across 500 employees can recover the annual tool cost many times over (HRTechSaaS, 2026).

Do these tools require access to employee claims data?

Not all of them. Picwell, for example, deploys in 4–8 weeks without claims data access, using actuarial models instead. Nayya, by contrast, is built on claims data integration for higher accuracy. Choose based on your organization's data infrastructure and comfort level.

What ROI can we expect from AI-driven benefits enrollment?

AI-driven benefits communication boosts on-time enrollments by 40% (Clarity Benefit Solutions, 2026). Individually, employees can save an average of $1,400/year through optimized plan selection (HRTechSaaS, 2026). SurveyMonkey saved 369 hours in a single two-week enrollment window (Revo.ai, 2026).

How do these tools handle data privacy and compliance?

Leading platforms use SSO authentication, de-identification of personal data in reporting, and explicit consent workflows. Picwell notably avoids claims data entirely. HR teams should confirm each vendor's data-handling practices meet internal privacy policies, especially when integrating claims or health utilization records.